Scalable and customizable benchmark problems for many-objective optimization
Authors:
- Ivan Reinaldo MeneghiniIMIvan Reinaldo Meneghini
- Marcos Antonio AlvesMAMarcos Antonio Alves
- António Gaspar-CunhaAGAntónio Gaspar-Cunha
- Frederico Gadelha GuimarãesFGFrederico Gadelha Guimarães
- 1 May 2020
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 90
Abstract
No abstract availableKeywords
All Related Versions
Funding Information
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
This publication has 35 references indexed in Scilit:
- Robust control of uncertain systems: Classical results and recent developmentsAutomatica, 2014
- Benchmarks for dynamic multi-objective optimisation algorithmsACM Computing Surveys, 2014
- Evolutionary robustness analysis for multi-objective optimization: benchmark problemsStructural and Multidisciplinary Optimization, 2013
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box ConstraintsIEEE Transactions on Evolutionary Computation, 2013
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive ApproachIEEE Transactions on Evolutionary Computation, 2013
- Nonparametric statistical analysis for multiple comparison of machine learning regression algorithmsInternational Journal of Applied Mathematics and Computer Science, 2012
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithmsSwarm and Evolutionary Computation, 2011
- Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of powerInformation Sciences, 2010
- Evolutionary Optimization in Uncertain Environments—A SurveyIEEE Transactions on Evolutionary Computation, 2005
- Comparison of Multiobjective Evolutionary Algorithms: Empirical ResultsEvolutionary Computation, 2000